Audio-visual Recognition of Auscultatory Breathing Sounds using Fourier and Wavelet Analyses
Keywords:Breath Sound, Visualization, Image Analysis, FFt and Wavelet
The era of computer management of clinical data demands the establishment of new techniques to analyze auscultatory sounds that can be better understood by both physicians and patients. This paper describes visual-based recognition techniques of breath sounds using two spectrograms created using short term FFT and wavelet analyses. Changes of frequency, intensity, and tone with time of breath sounds (21 samples) were shown using spectrograms of two kinds. Consequently, abnormal breath sounds were simply detected by differences of those patterns at first sight. They assist the recognition of the associated condition of disease. We expect to become a diagnostic support system in the near future.
I.R. Hanna, M.E. Silverman, â€œA history of cardiac auscultation and some of its contributorsâ€, The American Journal of Cardiology, vol. 90, no. 3, pp.259-267, 2002.
A. Kandaswamy, C. Sathish Kumar, Rm. Pl. Ramanathanc, S. Jayaraman, N. Malmurugan, â€œNeural classification of lung sounds using wavelet coefficientsâ€, Computers in Biology and Medicine, vol. 34, no. 6, pp.523â€“537, 2004.
Fatma Z. GÃ¶ÄŸÃ¼ÅŸ, Bekir Karlik, GÃ¼neÅŸ Harman, â€œClassification of Asthmatic Breath Sounds Using Wavelet
Transforms and Neural Networkâ€, International Journal of Signal Processing Systems, vol. 3, no. 2, pp.106-111,
Styliani A. Taplidou, Leontios J. Hadjileontiadis â€œNonlinear analysis of wheezes using wavelet bicoherenceâ€, Computers in Biology and Medicine, vol. 37, no. 4, pp.563-570, 2007.
Styliani A. Taplidou, Leontios J. Hadjileontiadis â€œWheeze detection based on time-frequency analysis of breath soundsâ€, Computers in Biology and Medicine, vol. 39, no. 8, pp.1073-1083,2007.
Arati Gunrung, Carolyn G. Scrafford, James M. Tielsch, Orin S. Levine, William Checkley, â€œComputerized lung sound analysis as diagnostic aid for detection of abnormal lung sounds: A systematic review and meta-analysis,â€
Respiratory Medicine, vol. 105, pp.1396-1403, 2011.
Mohammed Bahoura â€œPattern recognition methods applied to respiratory sounds classification into normal and wheeze classesâ€, Computers in Biology and Medicine, vol. 39, no. 9, pp. 824â€“843,2009.
Xiaoguang Lu, Mohammed. Bahoura, â€œAn integrated automated system for crackles extraction and classificationâ€, Biomedical Signal Processing and Control, vol. 3, no. 3, pp.244â€“254, 2008.
Gwo-Ching Changa, Yung-Fa Lai, â€œPerformance evaluation and enhancement of lung sound recognition system in
two real noisy environments,â€ Computer methods and programs in biomedicine, 97 (2010) pp.141-150, 2010.
A. Marshall, S. Boussakta, â€œSignal analysis of medical acoustic sounds with applications to chest medicineâ€, Journal of the Franklin Institute, vol. 344, no.3-4, pp.230-242, 2007.
Fumio Nogata, Yasunai Yokota, Yoko Kawamura, Hiroyuki Morita, Yoshiyuki Uno, W. R. Walsh, â€œAudio-visual based recognition of auscultatory heart sounds with Fourier and wavelet analysesâ€, Global Journal of Technology &
Optimization, vol. 3, no. 1, pp.43-48, 2012.
Tsuneo Ishihara (supervising editor), â€œPulmonary auscultation, Lung sounds on compact discâ€, Nankodo Co. Ltd., Tokyo (Japan), First ed. (13), ISBN4-524-24613-4, 2003.
P.S. Addison, â€œThe Illustrated wavelet transform handbook introductory theory and applications in science, engineering, medicine and financeâ€, Institute of Physics Publishing, 2002.
D. Kumar, P. Carvalho, M. Antunes M. J. Henriques, A. SÃ¡ e Melo, R. Schmidt, J. Habetha, â€œThird heart sound detection using wavelet transform-simplicity filterâ€, Conf. Proc. IEEE Engineering in Medicine and Biology Society,
Mami Iida, Kohshi Gotoh, Yasuo Yagi, Sadao Ohshima, Yukio Ohsumi, Noritaka Yamamoto, Fumiko Deguchi, Senri Hirakawa, â€œStudy on the genesis of posturally induced crackles from hemodynamic data- in patients with ischemic heart disease having normal respiratory function (in Japanese)â€, Kokyu
to Junkan (Respiration and Circulation), Online ISSN 1882-1200, vol. 37, no. 9, pp.1009-1014, 1989.
How to Cite
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.